What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- Statistics
My T. Thai mainly focuses on Distributed computing, Computer network, Network topology, Approximation algorithm and Wireless network.
His Distributed computing research is multidisciplinary, incorporating elements of Routing, Centrality, The Internet and Social network.
His research in Social network intersects with topics in Computer security, Misinformation and Maximization.
His Network topology study incorporates themes from Telecommunications network and Graph theory.
His research integrates issues of Theoretical computer science, Directed graph, Dominating set, Viral marketing and Distributed algorithm in his study of Approximation algorithm.
His Wireless network research is multidisciplinary, incorporating perspectives in Wireless ad hoc network and Greedy algorithm.
His most cited work include:
- Energy-efficient target coverage in wireless sensor networks (877 citations)
- Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks (201 citations)
- Adaptive algorithms for detecting community structure in dynamic social networks (182 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Approximation algorithm, Distributed computing, Computer network, Mathematical optimization and Theoretical computer science.
The various areas that My T. Thai examines in his Approximation algorithm study include Discrete mathematics, Maximization, Modularity, Bounded function and Viral marketing.
His studies in Distributed computing integrate themes in fields like Telecommunications network, Network topology and Vulnerability.
My T. Thai studies Computer network, focusing on Wireless sensor network in particular.
His biological study spans a wide range of topics, including Sensor node and Real-time computing.
His work deals with themes such as Computational complexity theory, Graph and Robustness, which intersect with Theoretical computer science.
He most often published in these fields:
- Approximation algorithm (25.29%)
- Distributed computing (24.51%)
- Computer network (20.23%)
What were the highlights of his more recent work (between 2017-2021)?
- Approximation algorithm (25.29%)
- Mathematical optimization (15.56%)
- Maximization (10.89%)
In recent papers he was focusing on the following fields of study:
Approximation algorithm, Mathematical optimization, Maximization, Submodular set function and Artificial intelligence are his primary areas of study.
His Approximation algorithm research incorporates elements of Node, Computer network, Topology and Viral marketing.
His Computer network study incorporates themes from Matching and Distributed algorithm.
His Mathematical optimization research integrates issues from Network performance and Bounded function.
His Maximization research incorporates themes from Linear programming and Binary logarithm.
My T. Thai interconnects Discrete mathematics, Cover, Computer security, Greedy algorithm and Network topology in the investigation of issues within Submodular set function.
Between 2017 and 2021, his most popular works were:
- AI and Blockchain: A Disruptive Integration (73 citations)
- A hybrid ABC-TS algorithm for the unrelated parallel-batching machines scheduling problem with deteriorating jobs and maintenance activity (27 citations)
- Multiplex Influence Maximization in Online Social Networks With Heterogeneous Diffusion Models (23 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- Statistics
His primary areas of study are Maximization, Approximation algorithm, Mathematical optimization, Blockchain and Robustness.
His work is dedicated to discovering how Approximation algorithm, Submodular set function are connected with Discrete mathematics, Monotonic function, Knapsack problem, Greedy algorithm and Multiplexing and other disciplines.
His Mathematical optimization research is multidisciplinary, relying on both Network topology, Theory of computation and Social network.
His research investigates the connection with Robustness and areas like Differential privacy which intersect with concerns in Adversarial system and Theoretical computer science.
While working on this project, My T. Thai studies both Certification and Distributed computing.
My T. Thai has researched Distributed computing in several fields, including Data modeling, Interdependent networks and Telecommunications network.
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